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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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will develop the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The position will be
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investigate systemic changes in the immune system following anti-cancer therapies and how these changes influence the outgrowth of metastasis at secondary sites. About You A PhD achieved or soon to be achieved
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Mogull, they may also build their own collaborations with academics, PDAs and PhD students, both at QMUL and elsewhere. They will be required to have strong analytical skills, to be an effective team
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facilities, collaborative teams and strong translational impact. About You Applicants should hold, or be close to completing, a PhD in biochemistry, analytical chemistry, immunology, cancer biology or a
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:38183983) using cutting-edge genomics technologies (https://www.biorxiv.org/content/10.1101/2024.12.20.629444v5) to provide core knowledge for development of new therapies and management strategies for PPK
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capable of learning online from new data. Both low- and high-frequency data analysis will be considered. About You The successful postholder will have or is soon to complete a PhD degree in Statistics
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have a strong research track record working in this area. About You Candidates must have a PhD in relativistic cosmology or a closely related subject, and have a demonstrable track record in working in
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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involves working with a range of stakeholders to develop communication strategies, conduct qualitative and mixed methods research, generate data, analyse findings, and deliver public engagement. The post